Data Engineer

Tech3pillars Technologies

  • NULL, AK
  • 5 days ago

    Highlights

    We are seeking an experienced Azure Data Engineer with strong hands-on expertise in Azure Synapse Analytics, Apache Spark, PySpark, Spark SQL, and Data Lake architecture . The ideal candidate will be responsible for designing, developing, optimizing, and supporting scalable data processing and analytics solutions in Azure environments.

    Numbers & Facts

    LocationNULL, AK

    Description

    Job Title: Azure Data Engineer
    Location: Atlanta, GA (Onsite)

    Job Summary

    We are seeking an experienced Azure Data Engineer with strong hands-on expertise in Azure Synapse Analytics, Apache Spark, PySpark, Spark SQL, and Data Lake architecture. The ideal candidate will be responsible for designing, developing, optimizing, and supporting scalable data processing and analytics solutions in Azure environments.

    The candidate should have a good understanding or exposure to Microsoft Fabric and be comfortable working across development and production support environments.

    Key Responsibilities

    Design, develop, and maintain scalable data engineering pipelines and solutions using Azure services.

    Work extensively with Azure Synapse Analytics for data processing, analytics, and data warehousing.

    Develop data transformation and processing solutions using PySpark and Spark SQL.

    Apply strong knowledge of Apache Spark architecture, distributed computing, and large-scale data processing.

    Design and implement Data Lake architectures, including the Medallion Architecture (Bronze, Silver, and Gold layers).

    Work with Microsoft Fabric and support the adoption or integration of Fabric-based data solutions.

    Key Skills & Experience:

    Strong hands-on experience with Azure Synapse Analytics, along with a good understanding or exposure to Microsoft Fabric

    Deep understanding of Apache Spark architecture and distributed data processing concepts

    Strong knowledge of Data Lake architecture, including Medallion Architecture

    Hands-on experience in PySpark and Spark SQL for data transformation and processing

    Solid communication skills with the ability to work effectively with cross-functional teams

    Strong problem-solving and troubleshooting skills in data engineering environments

    Should have worked in diverse environment with IT/Business/ Onsite offshore Model and also need to easily adapt on Development and Support models.

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